Simulation and Optimization of Flow Patterns in an Oscillatory Central Baffled Reactor: Enhancing Mixing and Energy

This research analyses the flow patterns in an Oscillatory Central Baffled Reactor (OCBR) using Computational Fluid Dynamics (CFD) simulations under various oscillation conditions. Frequency (f) and amplitude (x0) are examined as critical parameters for enhancing fluid mixing and energy efficiency in high viscosity fluids, such as biofuels. The findings highlight the significant impact of the Strouhal number (St) on the flow behavior, showing improved fluid mixing with an increase in the oscillatory Reynolds number (Re0) from 125.6 (f = 2 Hz, x0 = 2 mm) to 392.7 (f = 2.5 Hz, x0 = 5 mm), corresponding to a decrease in the St from 0.2 to 0.08. The simulations indicated the appearance of stable vortices and a better distribution of the Weibel dead zones at an oscillation cycle (t/T) of 0.5. During the course of the study, the pressure distribution within the OCBR and its dependence on oscillation amplitude were shown, which significantly impacted the pressure drop from 8.8 to 123 Pa as Re0 was raised. In order to alleviate the endpoints for high resistance of sharp edged baffles, two modified baffle designs (semi-central and smooth-edge central baffles) were used. The findings showed that the performance of the semi-central baffle design in terms of dead zone reduction and shear stress was superior to those of the other designs for both upward and downward flows, indicating its suitability for enhancing the performance of the OCBR. This research offers important developments in the efficient mixing processes needed in industrial applications and indicates some areas for effective testing and validation of the models developed.

Authors

Institutions

Publication Details

Journal
Engineering Technology & Applied Science Research
Published
2024-10-09
DOI
https://doi.org/10.48084/etasr.8441
Citations
2
Primary Topic
Fluid Dynamics and Mixing
Type
article
Field-Weighted Citation Impact
0.37
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Simulation and Optimization of Flow Patterns in an Oscillatory Central Baffled Reactor: Enhancing Mixing and Energy

Safaa M.R. Ahmed, Mudheher M. Ali, Saba A. Gheni
2 citations
Engineering Technology & Applied Science Research
Fluid Dynamics and Mixing
0.37
article

Simulation and Optimization of Flow Patterns in an Oscillatory Central Baffled Reactor: Enhancing Mixing and Energy

Safaa M.R. Ahmed, Mudheher M. Ali, Saba A. Gheni
article en
2 citations

Abstract

This research analyses the flow patterns in an Oscillatory Central Baffled Reactor (OCBR) using Computational Fluid Dynamics (CFD) simulations under various oscillation conditions. Frequency (f) and amplitude (x0) are examined as critical parameters for enhancing fluid mixing and energy efficiency in high viscosity fluids, such as biofuels. The findings highlight the significant impact of the Strouhal number (St) on the flow behavior, showing improved fluid mixing with an increase in the oscillatory Reynolds number (Re0) from 125.6 (f = 2 Hz, x0 = 2 mm) to 392.7 (f = 2.5 Hz, x0 = 5 mm), corresponding to a decrease in the St from 0.2 to 0.08. The simulations indicated the appearance of stable vortices and a better distribution of the Weibel dead zones at an oscillation cycle (t/T) of 0.5. During the course of the study, the pressure distribution within the OCBR and its dependence on oscillation amplitude were shown, which significantly impacted the pressure drop from 8.8 to 123 Pa as Re0 was raised. In order to alleviate the endpoints for high resistance of sharp edged baffles, two modified baffle designs (semi-central and smooth-edge central baffles) were used. The findings showed that the performance of the semi-central baffle design in terms of dead zone reduction and shear stress was superior to those of the other designs for both upward and downward flows, indicating its suitability for enhancing the performance of the OCBR. This research offers important developments in the efficient mixing processes needed in industrial applications and indicates some areas for effective testing and validation of the models developed.

Engineering Technology & Applied Science ResearchVol. 14(5)
University of Tikrit (IQ)
Affordable and clean energy
Openalex Percentile: Top 43%
Fluid Dynamics and Mixing
0.37
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Simulation and Optimization of Flow Patterns in an Oscillatory Central Baffled Reactor: Enhancing Mixing and Energy — Safaa M.R. Ahmed, Mudheher M. Ali, et al. · Engineering Technology & Applied Science Research (2024) | TGRS Research Map | TGRS